Review of Wearable Sensor-Based Health Monitoring Glove Devices for Rheumatoid Arthritis

Jeffery Henderson, Joan Condell, James Connolly, Daniel Kelly, Kevin Curran

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Abstract

Early detection of Rheumatoid Arthritis (RA) and other neurological conditions is vital for effective treatment. Existing methods of detecting RA rely on observation, questionnaires, and physical measurement, each with their own weaknesses. Pharmaceutical medications and procedures aim to reduce the debilitating effect, preventing the progression of the illness and bringing the condition into remission. There is still a great deal of ambiguity around patient diagnosis, as the difficulty of measurement has reduced the importance that joint stiffness plays as an RA identifier. The research areas of medical rehabilitation and clinical assessment indicate high impact applications for wearable sensing devices. As a result, the overall aim of this research is to review current sensor technologies that could be used to measure an individual’s RA severity. Other research teams within RA have previously developed objective measuring devices to assess the physical symptoms of hand steadiness through to joint stiffness. Unfamiliar physical effects of these sensory devices restricted their introduction into clinical practice. This paper provides an updated review among the sensor and glove types proposed in the literature to assist with the diagnosis and rehabilitation activities of RA. Consequently, the main goal of this paper is to review contact systems and to outline their potentialities and limitations. Considerable attention has been paid to gloved based devices as they have been extensively researched for medical practice in recent years. Such technologies are reviewed to determine whether they are suitable measuring tools
Original languageEnglish
Article number1576
Pages (from-to)1-32
Number of pages32
JournalSensors
Volume21
Issue number5
Early online date24 Feb 2021
DOIs
Publication statusPublished - 24 Feb 2021

Keywords

  • Data gloves
  • Joint measurement
  • Range of motion
  • Rehabilitation
  • Rheumatoid arthritis
  • Smart sensing

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